
pollinations ai image server
A Model Context Protocol server for generating images using Pollinations AI
Repository Info
About This Server
A Model Context Protocol server for generating images using Pollinations AI
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
中文 | English
pollinations-ai-image-server MCP Server
A Model Context Protocol server for generating images using Pollinations AI
This is a TypeScript-based MCP server that implements an AI image generation system. It demonstrates core MCP concepts by providing:
- Tools for generating images using Pollinations AI
- Simple integration with Claude Desktop
Features
Tools
generate_image- Generate images using Pollinations AI- Takes a prompt as required parameter
- Supports multiple image size options: 720x1280, 1280x720, 1024x1024 (default)
- Downloads and saves the generated image to a temporary directory
- Returns the file path of the saved image
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"pollinations-ai-image-server": {
"command": "/path/to/pollinations-ai-image-server/build/index.js"
}
}
}
Usage
Once configured, you can use the server with Claude Desktop by asking Claude to generate images. For example:
"Please generate an image of a sunset over mountains using the pollinations-ai-image-server."
You can specify the image size by adding it to your request: "Generate a portrait (720x1280) image of a cat using pollinations-ai-image-server."
Supported image sizes:
- 720x1280 (portrait)
- 1280x720 (landscape)
- 1024x1024 (square, default)
The image will be generated using Pollinations AI with the following settings:
- Model: flux
- Seed: 42
The generated image will be saved to a temporary directory and the file path will be returned.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Quick Start
Clone the repository
git clone https://github.com/zym9863/pollinations-ai-image-serverInstall dependencies
cd pollinations-ai-image-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.